iPhone 15 Pro
Geekbench AI Score
3929
Single Precision Score
6811
Half Precision Score
5586
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | brett2032 |
| Upload Date | November 10 2024 06:40 AM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPhone 15 Pro |
| Model ID | iPhone16,1 |
| Motherboard | D83AP |
| CPU Information | |
|---|---|
| Name | Apple A17 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.78 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1672
310.9 IPS |
|
|
Image Classification (HP)
|
100% |
2948
548.2 IPS |
|
|
Image Classification (Q)
|
96% |
2029
378.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1659
26.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2539
41.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3080
49.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7399
8.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
15219
17.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
14174
16.6 IPS |
|
|
Object Detection (SP)
|
100% |
1801
142.9 IPS |
|
|
Object Detection (HP)
|
97% |
3369
268.2 IPS |
|
|
Object Detection (Q)
|
94% |
2357
187.8 IPS |
|
|
Face Detection (SP)
|
100% |
3216
38.2 IPS |
|
|
Face Detection (HP)
|
100% |
6811
80.9 IPS |
|
|
Face Detection (Q)
|
100% |
3915
46.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6977
53.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
13566
104.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
9319
72.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21421
27.5 IPS |
|
|
Style Transfer (HP)
|
100% |
32411
41.7 IPS |
|
|
Style Transfer (Q)
|
96% |
27332
35.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4965
183.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5741
212.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4411
162.9 IPS |
|
|
Text Classification (SP)
|
100% |
3164
4.22 KIPS |
|
|
Text Classification (HP)
|
100% |
5341
7.13 KIPS |
|
|
Text Classification (Q)
|
93% |
5308
7.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
3145
54.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6104
105.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6074
105.0 IPS |
